OVERVIEW OF GISG I S Geographic Information Systems An INTEGRATED SYSTEM of COMPUTER HARDWARE and SOFTWARE coupled with PROCEDURES and a HUMAN ANALYST which together support the CAPTURE,
Trang 2EMPHASIZING GIS USE FOR NATURAL RESOURCE MANAGEMENT
David P Lusch, Ph.D
Senior Research Specialist
Center For Remote Sensing and Geographic Information Science
Michigan State University
November, 1999
Trang 3OVERVIEW OF GIS
G I S
Geographic Information Systems
An INTEGRATED SYSTEM of COMPUTER HARDWARE and SOFTWARE
coupled with PROCEDURES and a HUMAN ANALYST which together
support the CAPTURE, MANAGEMENT, MANIPULATION, ANALYSIS,
MODELLING, and DISPLAY of SPATIALLY REFERENCED DATA
Trang 4G I S Capabilities:
q QUERY FOR LOCATION
"Show me all the countries of South America that have a population greater than 20,000,000 "
q QUERY FOR CONDITION
"Display the population of each country I point to on the map."
q TREND ANALYSIS
"Show me where the census blocks are that have experienced more than a 50% population change between 1980 and 1990."
Trang 6DATA TYPES
Point = Position, no area
RASTER VECTOR
Point = 1 cell
Polygon = Area and perimeter Polygon = Group of contiguous
cells joined at edges or corners
Line = Length, no width Line = Multiple cells joined at
edges or corners, usually with only 1 or 2 neighbors Geometric Classes of Data
Trang 7Raster
Trang 8VECTOR STRUCTURE
Advantages
q Good representation of the landscape being mapped
q Topology can be completely described, including network
linkages
q Great looking graphics ("Looks like a map is supposed to")
q Generalization of the graphics is possible while still maintaining
the great look ("What the map reader doesn't know won't hurt
them")
RASTER STRUCTURE
Advantages
q Overlaying maps is easy and "perfect" (i.e no possibility of
sliver polygons developing since all raster cell borders are
coincident
q Integration of remotely sensed imagery (satellite images or
scanned airphotos) is straight-forward
q A huge variety of complex spatial analyses are supported
q Software is generally cheaper and easier to learn compared to
vector GISs
Trang 9TOPOLOGY
Geometrical relationships between spatial objects (Points, Lines, and Areas), such as adjacency, that are not altered by distortion, as long as the
surface is not torn
Example of "Built" Topology (from Arc/Info)
Arc Left Right From To
ID Poly Poly Node Node
Trang 12A Classification of GIS Functions
q Analysis of Spatial and Attribute Data
- Non-spatial analyses
Attribute query and display Map retrieval and display Attribute classification Map measurements (distance, direction, area, etc.)
- Spatial analyses
Overlay operations Neighborhood functions
Distance and Connectivity functions
Contiguity measures Proximity analysis Network analysis Spread functions Seek operands Intervisibility analysis Solar illumination calculation Perspective view
Search operations
Line-in-polygon; Point-in-polygon Topographic functions
Thiessen polygons Interpolation
Contour generation
This classification has been adapted from:
Aronoff, Stan 1989 Geographic Information Systems: A Management
Approach Ottawa, Ontario, Canada: WDL Publications 294p.
Trang 13A Classification of GIS Functions
q Maintenance of Attribute Data
Format conversions Database error checking Database editing
q Maintenance of Spatial Data
Format conversions Geometric transformations Projection conversions Conflation
Edge matching Editing of graphic elements Line coordinate thinning
q Output functions
Map annotation Text labels Texture patterns and line styles Graphic symbols
Plotting Printing (laser printers, color inkjet printers, etc.)
This classification has been adapted from:
Aronoff, Stan 1989 Geographic Information Systems: A Management
Approach Ottawa, Ontario, Canada: WDL Publications 294p.
Trang 14Vector and Raster
Vector and Raster
Vector and Raster
Spatial Analyses
Trang 15Vector and Raster
Raster Only
Vector and Raster
Trang 16Vector and Raster
Vector and Raster
All locations in the coverage or grid
are evaluated The results extend
to the spatial limits of the input maps.
Trang 17Vector and Raster
All locations in the
coverage or grid
are not necessarily
evaluated The results
are constrained to the
spatial nature of the
reference map.
Vector Only
Trang 19Note: Most relational database management systems support a "SWAP"
function which selects the currently unselected items in the database In
the example above, the "SWAP" function would return the white areas after the hatched areas had initially been selected.
Vector and Raster
Trang 22Simple (i.e unweighted)PROXIMITY SURFACE
Trang 23Raster Only
Raster Only
Trang 24Least-Cost Pathway Analyses
q Create a FRICTION map from one or more
existingcoverages
q Create a COST SURFACE map by executing
the PROXIMITY analysis WEIGHTED BY the
FRICTION map
from one or more starter entities (points,
lines or areas) to a destination It will FIND
the one (or more) routes that ACCUMULATE
the least cost.
Trang 25Base cost x 4
Base cost x 1000 Base cost x 5 Base cost
Trang 26Cost Surface (Proximity x Friction)
Least-Cost
Pathway
Trang 28Vector and Raster
Trang 31SPATIAL ANALYSES
Basic Functional Classes
q Reclassifying Maps
q Overlaying Maps
q Measuring Distance and Connectivity
q Characterizing Neighborhoods Raster Only
Trang 32WINDOW OPERATIONS
Slope Slope Aspect Maximum, Minimum Mean, Median, Mode Standard Deviation Majority, Minority Total Count Diversity
Large number of Spatial Pattern
or Texture Indexes
(e.g Dominance Index, Relative Richness, etc.)
Raster Only
Trang 34Each of the following measures are calculated within a 3 x 3 pixel window which systematically roves
throught the data set The outcome calculation is assigned to the center cell in the window (in the output file), then the window moves over one pixel along a row and recalculates a new value for that center- pixel location, etc.
Relative Richness = n / (nmax) x 100
where n = number of different classes present
from: Turner, M.G 1989 Landscape Ecology: The Effect of Pattern on Process, Annu Rev Ecol Syst., 20, 171-197.
Examples of Neighborhood Operations to Determine
Spatial Pattern
Trang 35Relative RichnessDominance Index